code: def make_meta(x, index=None, parent_meta=None):
      """
      This method creates meta-data based on the type of ``x``,
      and ``parent_meta`` if supplied.
  
      Parameters
      ----------
      x : Object of any type.
          Object to construct meta-data from.
      index :  Index, optional
          Any index to use in the metadata. This is a pass-through
          parameter to dispatches registered.
      parent_meta : Object, default None
          If ``x`` is of arbitrary types and thus Dask cannot determine
          which back-end to be used to generate the meta-data for this
          object type, in which case ``parent_meta`` will be used to
          determine which back-end to select and dispatch to. To use
          utilize this parameter ``make_meta_obj`` has be dispatched.
          If ``parent_meta`` is ``None``, a pandas DataFrame is used for
          ``parent_meta`` thats chooses pandas as the backend.
  
      Returns
      -------
      A valid meta-data
      """
  
      if not isinstance(
          x, (pd.Series, pd.DataFrame, pd.Index)
      ) and hasattr(x, "_meta"):
          if is_dask_collection(x):
              return x._meta
  
      try:
          return make_meta_dispatch(x, index=index)
      except TypeError:
          if parent_meta is not None:
              func = make_meta_obj.dispatch(type(parent_meta))
              return func(x, index=index)
          else:
              # Default to using the pandas backend
              # if ``parent_meta`` is not specified
              func = make_meta_obj.dispatch(pd.DataFrame)
              return func(x, index=index)
  
file_path: dask/dask/dataframe/dispatch.py
imports: from __future__ import annotations
  import pandas
  from dask import is_dask_collection
  from dask.utils import Dispatch
label_desc: Use image node_id 5 for calling a global function with example usage: make_meta(x, index, parent_meta) and returns: make_meta_dispatch, x, func, func